IMAGE DISTORTION CORRECTION METHOD AND IMAGE DISTORTION CORRECTION DEVICE USING THE SAME

摘要

An image distortion correction method and an image distortion correction device are provided. The image distortion correction method uses a neural network model to perform a correcting operation on an original image so as to obtain a correction image with plural correction points. Firstly, a position coordinate of the correction point is inputted into the neural network model, so that a first direction coordinate correction amount is outputted from the neural network model. Then, the position coordinate of the correction point is inputted into the neural network model, so that a second direction coordinate correction amount is outputted from the neural network model. Afterwards, a pixel value of the original image corresponding to the first direction coordinate correction amount and the second direction coordinate correction amount is used as a pixel value of the correction point.

主权项

1. An image distortion correction method, comprising steps of:
(1) providing a standard picture and a target image, wherein the standard picture has plural standard points, and the target image has plural target points corresponding to the plural standard points; (2) providing a position coordinate of each standard point and a first direction coordinate change amount which is between each standard point and the corresponding target point to the neural network model so as to train and obtain a first direction parameter group of the neural network model, and providing the position coordinate of each standard point and a second direction coordinate change amount which is between each standard point and the corresponding target point to the neural network model so as to train and obtain a second direction parameter group of the neural network model; and (3) performing a correcting process to correct distortion of an original image by the neural network model according to the first direction parameter group and the second direction parameter group of the neural network model, so that a correction image is obtained.